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Associate Data Engineer Jobs in Springboro, OH (NOW HIRING)

CareSource

AVP, Data Management

Dayton, OH · On-site +1

The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise ...

CareSource

AVP, Data Management

Dayton, OH · On-site

$150 - $300/hr

Job Summary The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of ...

New

tekWorx

Associate Control Engineer

Cincinnati, OH · On-site

Collect and analyze system data to identify performance gaps, control issues, and optimization ... S. in Engineering or Associate degree in mechanical or electrical/electronic technology with 2 ...

tekWorx

Associate Control Engineer

Cincinnati, OH · On-site

Collect and analyze system data to identify performance gaps, control issues, and optimization ... S. in Engineering or Associate degree in mechanical or electrical/electronic technology with 2 ...

PDS Tech Commercial

Electrical Engineer

Vandalia, OH

$65/hr

As an Instrumentation Specialist, you'll design, integrate, and support aircraft data acquisition ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

AGE Solutions

Systems Engineer

Dayton, OH

$100K/yr

The Systems Engineer is responsible for the provisioning, configuration, operation, and maintenance ... Azure Administrator Associate * NetApp Certified Data Administrator (ONTAP) * NetApp Certified ...

AGE Solutions LLC

Systems Engineer

Dayton, OH · On-site

Azure Administrator Associate, NetApp Certified Data Administrator (ONTAP), NetApp Certified Hybrid ... Engineer- SAN Specialist (ONTAP), NetApp Certified Hybrid Cloud Implementation Engineer, NetApp ...

AGE solutions

Systems Engineer

Dayton, OH · On-site

The Systems Engineer is responsible for the provisioning, configuration, operation, and maintenance ... Azure Administrator Associate * NetApp Certified Data Administrator (ONTAP) * NetApp Certified ...

Age Solutions

Systems Engineer

Dayton, OH · On-site

The Systems Engineer is responsible for the provisioning, configuration, operation, and maintenance ... Azure Administrator Associate * NetApp Certified Data Administrator (ONTAP) * NetApp Certified ...

AGE Solutions

Systems Engineer

Dayton, OH · On-site

The Systems Engineer is responsible for the provisioning, configuration, operation, and maintenance ... Azure Administrator Associate * NetApp Certified Data Administrator (ONTAP) * NetApp Certified ...

AGE Solutions LLC

Systems Engineer

Dayton, OH · On-site

Azure Administrator Associate, NetApp Certified Data Administrator (ONTAP), NetApp Certified Hybrid ... Engineer- SAN Specialist (ONTAP), NetApp Certified Hybrid Cloud Implementation Engineer, NetApp ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Springboro, OH

Associate Data Engineer information

See Springboro, OH salary details

$8

$16

$27

How much do associate data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for associate data engineer in Springboro, OH is $16.52, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $17.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What cities near Springboro, OH are hiring for Associate Data Engineer jobs? Cities near Springboro, OH with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Springboro, OH as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $34,364 per year, or $16.5 per hour.

AVP, Data Management

CareSource

Dayton, OH • On-site, Remote

Full-time

Posted 6 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

200th of 304 rated insurance

Job description

Job Summary:
The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise data platforms. This leader ensures that the data ecosystem is scalable, secure, reliable, and capable of supporting analytics, artificial intelligence, operational reporting, regulatory compliance, and business transformation initiatives. They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and data reliability. The AVP partners closely with Data Strategy & Governance, Data & AI Solutions, Enterprise Architecture, Clinical Operations, Finance, and Technology leaders to ensure the enterprise data foundation enables business outcomes while maintaining appropriate controls, performance, and scalability.
Essential Functions:
  • Define and execute the enterprise data platform strategy and multi-year technology roadmap.
  • Establish architecture standards, design principles, and engineering practices supporting enterprise data initiatives.
  • Lead modernization efforts across data platforms, integration technologies, and operational processes.
  • Evaluate emerging technologies and industry trends to continuously improve enterprise data capabilities.
  • Align data platform investments with organizational priorities, technology strategy, and business objectives.
  • Act as executive sponsor for major enterprise data transformation initiatives.
  • Lead the creation and governance of enterprise data architecture standards and reference architectures.
  • Establish target-state architecture supporting operational reporting, advanced analytics, AI, interoperability, and regulatory requirements.
  • Define canonical data models, integration patterns, and enterprise information architecture.
  • Partner with Enterprise Architecture to align data strategy with broader application and infrastructure roadmaps.
  • Oversee metadata-driven architecture, data lineage, and data lifecycle management practices.
  • Drive adoption of modern architectural patterns including lakehouse, event-driven, and domain-oriented data architectures.
  • Provide executive leadership for enterprise data engineering teams.
  • Oversee design, development, and optimization of scalable ETL/ELT pipelines and data products.
  • Ensure engineering delivery practices support reliability, performance, maintainability, and reusability.
  • Champion automation, DevOps, and DataOps capabilities across the organization.
  • Establish engineering standards, code quality practices, CI/CD frameworks, and operational controls.
  • Lead platform optimization efforts to improve performance, scalability, and cost efficiency.
  • Own enterprise integration strategy across clinical, operational, financial, and third-party systems.
  • Ensure integration solutions align with enterprise standards, regulatory requirements, and business objectives.
  • Partner with application and infrastructure teams to streamline system connectivity and data flow.
  • Lead large-scale migration and consolidation initiatives during mergers, acquisitions, or platform modernization efforts.
  • Establish operational governance and performance management practices for data platforms.
  • Ensure platform availability, reliability, resiliency, and service performance meet defined SLAs.
  • Lead enterprise data quality monitoring, remediation, and continuous improvement efforts.
  • Develop operational metrics, KPIs, dashboards, and reporting frameworks to measure platform health and business value.
  • Oversee capacity planning, incident management, root-cause analysis, and problem resolution processes.
  • Partner with Data Strategy & Governance leadership to operationalize data quality standards and stewardship practices.
  • Ensure appropriate security, access controls, disaster recovery, and risk management processes are in place.
  • Build and lead high-performing teams including directors, managers, architects, engineers, and operations professionals.
  • Foster a culture of accountability, innovation, operational excellence, and continuous improvement.
  • Develop leadership talent and succession planning within the organization.
  • Establish organizational priorities, objectives, and performance expectations.
  • Lead vendor management, contract negotiations, and strategic technology partnerships.
  • Manage budgets for personnel, infrastructure, licensing, and external services.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field required
  • Master's degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Twelve (12) years of progressive experience in data management, data architecture, data engineering, or platform engineering required
  • Five (5) years of leadership experience managing large-scale technology organizations required
  • Experience leading enterprise data platforms supporting analytics, operational reporting, and AI initiatives required
  • Experience establishing and scaling operational practices for mission-critical data platforms required
  • Experience leading cloud-based data modernization initiatives required
Competencies, Knowledge and Skills:
  • Familiarity with healthcare payer industry strongly preferred
  • Knowledge of Databricks, Azure, Snowflake, or comparable modern cloud data platforms
  • Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
  • Familiarity with healthcare interoperability standards including FHIR, HL7, EDI, and related healthcare data exchanges
  • Ability to support AI/ML platforms and large-scale enterprise analytics environments
  • Skilled with master data management, metadata management, and data observability solutions
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Travel is not typically required

Compensation range $150,000-$300,000. CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Energize and Inspire the Organization
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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